JobHabor

Senior Machine Learning Engineer

Anno.ai

Location
US
Workplace
Remote
Employment
Full Time
Salary
Apply on the employer’s site

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Design, develop, test, document, deploy, and maintain ML and statistical models
  • Operationalize ML models with robust, scalable pipelines
  • Translate mission requirements into deployable ML capabilities
  • Implement automated CI/CD workflows for ML systems
  • Manage ML runtime infrastructure using containerization and orchestration
  • Develop monitoring systems for model health and performance
  • Ensure ML deployments meet security requirements
  • Evaluate and integrate emerging MLOps and inference technologies

Requirements

  • Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or related
  • 5+ years of professional experience in software engineering, ML engineering, or MLOps
  • Experience operationalizing ML systems at production scale
  • Strong proficiency in Python
  • Familiarity with at least one deep learning framework (PyTorch, TensorFlow)
  • Hands-on experience with MLOps frameworks and workflow tooling (MLflow, Kubeflow, Airflow, DVC, BentoML)
  • Experience deploying containerized ML services using Docker
  • Experience orchestrating workloads using Kubernetes
  • Understanding of CI/CD workflows and DevOps practices applied to ML systems
  • Familiarity with monitoring, observability, and logging platforms (Prometheus, Grafana, ELK/EFK)
  • Ability to obtain and maintain U.S. Government security clearance
  • U.S. citizenship required
  • Ability to travel up to 20%

Preferred

  • Master’s degree
  • Experience deploying models and associated runtimes to Edge devices
  • Experience optimizing models for memory and CPU constrained systems
  • Prior experience supporting U.S. Department of War programs, cUAS systems, or mission-critical autonomous platforms
  • Experience working with diverse or atypical data sources (Audio/Acoustics, RF signals, EO/IR imagery)
  • Experience deploying and optimizing ML inference on edge or resource-limited compute systems
  • Experience with Explainable/Auditable AI/ML tools and interpretable model design
  • Experience with AI Software Development Tools (GitHub CoPilot, Claude)

Skills

  • Python
  • PyTorch
  • TensorFlow
  • MLflow
  • Kubeflow
  • Airflow
  • DVC
  • BentoML
  • Docker
  • Kubernetes
  • Git
  • Prometheus
  • Grafana
  • ELK
  • EFK
  • Seldon
  • KServe
  • GitHub CoPilot
  • Claude

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